Daniela Hoeller

2.4k citations
24 papers · 1.8k indexed · h-index 17

Impact in

Papers in

    • Wound Healing and Treatments 5
    • Ubiquitin and proteasome pathways 9
    • Glycosylation and Glycoproteins Research 5
    • Histone Deacetylase Inhibitors Research 3
    • Viral Infectious Diseases and Gene Expression in Insects 2

Daniela Hoeller

24 papers receiving 1.8k citations

Peers

Daniela Hoeller
Comparison fields: 5 of 96
  • Cell Biology 376
  • Rehabilitation 150
  • Molecular Biology 1.4k
  • Oncology 458
  • Cancer Research 169
Replace Jen‐Chieh Tseng with:
Jen‐Chieh Tseng United States
Francesca Belleudi Italy
Martin Holcmann Austria
Vitali Alexeev United States
Małgorzata Zakrzewska Poland
Zoë Johnson Switzerland
Tomohide Tsukahara Japan
Douglas K. Ferris United States
Jeffrey D. McBride United States
M Shearer United Kingdom
Daniela Hoeller relative to Jen‐Chieh Tseng United States Jen‐Chieh Tseng's profile →
Citations per field
00.5×7.2×
Jen‐Chieh Tseng · 1×
Citations per year

Countries citing papers authored by Daniela Hoeller

Since Specialization
Citations

This map shows the geographic impact of Daniela Hoeller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Hoeller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Hoeller more than expected).

Fields of papers citing papers by Daniela Hoeller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Hoeller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Hoeller. The network helps show where Daniela Hoeller may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniela Hoeller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Hoeller Line = papers co-authored together Daniela Hoeller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201221
2 201012
3 201012
4 20083
5 200811
6 2007121
7 200729
8 200730
9 200622
10 2006261
11 2006329
12 200630
13 200553
14 200510
15 200523
16 200576
17 200419
18 200416
19 200213
20 200136

About Daniela Hoeller

Daniela Hoeller is a scholar working on Rehabilitation, Molecular Biology, Cell Biology, Occupational Therapy and Virology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Glycosylation and Glycoproteins Research (5 papers), Wound Healing and Treatments (5 papers), Virus-based gene therapy research (3 papers), Cellular transport and secretion (3 papers), Autophagy in Disease and Therapy (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Cell Biology (376 citations), Rehabilitation (150 citations), Molecular Biology (1.4k citations), Oncology (458 citations) and Cancer Research (169 citations). Daniela Hoeller has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Ivan Đikić, Sebastian Wagner, Rainer Breitling, Feng Yao, Siniša Volarević, Ritva Tikkanen, Nicola Crosetto, Matthias Mann, Elof Eriksson and Harald Stenmark. Their work appears in journals such as Wound Repair and Regeneration, FEBS Letters, Nature Structural & Molecular Biology, Molecular Therapy and Journal of Tissue Viability.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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